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Internship Gpu Engineer Jobs (NOW HIRING)

Proficiency in GPU architecture with CUDA or OpenCL programming experience. * A track record of mentoring early career engineers and interns is a bonus With competitive salaries and a generous ...

New

Proficiency in GPU architecture with CUDA or OpenCL programming experience. * A track record of mentoring early career engineers and interns is a bonus With competitive salaries and a generous ...

New

Senior AI Compiler Engineer, MLIR

Austin, TX

$121K - $160K/yr

Proficiency in GPU architecture with CUDA or OpenCL programming experience. * A track record of mentoring early career engineers and interns is a bonus With competitive salaries and a generous ...

New

$119 - $151/hr

Internship, research, or advanced coursework in ML systems, ML compilers, GPU programming (CUDA, OpenAI Triton), inference optimization, or distributed training/serving infrastructure.* Familiarity ...

New

... internship experience and candidates with 2-5 years of industry experience in performance or systems engineering. * Hands-on experience running AI/ML workloads on GPU clusters - including ...

Graphics experience (GPU / CUDA) Job Type:Student / Intern Shift:Shift 1 (United States of America ... Our standard internship rates are based on your degree, location, and the job role. Your recruiter ...

Graphics experience (GPU / CUDA) Job Type:Student / Intern Shift:Shift 1 (United States of America ... Our standard internship rates are based on your degree, location, and the job role. Your recruiter ...

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Internship Gpu Engineer information

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$13

$25

$38

How much do internship gpu engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for internship gpu engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Gpu Engineer vs Gpu Engineer?

AspectInternship Gpu EngineerGpu Engineer
CredentialsEnrolled in or recent graduate of relevant degree (Computer Science, Electrical Engineering)Bachelor's or Master's in related field, relevant certifications
Work EnvironmentInternship programs, entry-level projects, mentorshipFull-time, senior projects, independent responsibilities
Industry UsageTraining phase, learning environment, entry-level tasksDesign, develop, optimize GPU hardware/software solutions

In summary, an Internship Gpu Engineer is a temporary, learning-focused role for students or recent graduates, while a Gpu Engineer is a full-time professional responsible for advanced GPU development and implementation.

How much do internship GPU engineers make?

Internship GPU engineers typically earn between $20 and $40 per hour, depending on the company, location, and level of experience. Internships usually last 3 to 6 months and may include additional benefits such as mentorship and training in GPU programming tools like CUDA or OpenCL.
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Cities with the most Internship Gpu Engineer job openings:

What are the most commonly searched types of Gpu Engineer jobs?

The most popular types of Gpu Engineer jobs are:

What states have the most Internship Gpu Engineer jobs?

States with the most job openings for Internship Gpu Engineer jobs include:

Infographic showing various Internship Gpu Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Senior AI Compiler Engineer, MLIR

Nvidia

Santa Clara, CA

$143K - $189K/yr

Full-time

Posted 3 days ago

New


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning-from LLMs and generative AI to recommendation, vision, and speech. On this team, you'll build an MLIR-based AI compiler that powers NVIDIA's inference engine end to end, with a focus on performance, fast builds, low memory use, and Ahead-of-Time and Just-in-Time usability across data center and edge.

What you'll be doing:

  • Develop MLIR-based graph representations and optimizations for future GPU architectures.

  • Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural features.

  • Define APIs and MLIR dialects, conduct performance optimizations and analysis, implement compiler optimizations and kernel generation for neural networks, and contribute to other general software engineering work.

What we need to see:

  • Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, a related field, or equivalent experience.

  • 3+ years of relevant work or research experience in performance analysis and compiler optimizations.

  • Experience with compiler technologies such as MLIR, XLA, and LLVM.

  • Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and testing.

  • Ability to work independently, define project goals and scope, and lead your own development efforts.

  • Strong interpersonal skills and the ability to thrive in a fast-moving, dynamic, product-oriented team.

Ways to stand out from the crowd:

  • Understanding of deep learning models, algorithms, and frameworks such as PyTorch and JAX.

  • Experience with GPU kernel generation targeting high performance and fast build times.

  • Proficiency in GPU architecture with CUDA or OpenCL programming experience.

  • A track record of mentoring early career engineers and interns is a bonus

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993